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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6965
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    Explanations

    instances of the word 'won' and references to money or winnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wikimedijinoj
    -0.38
     desc
    -0.37
     bounding
    -0.36
    rubin
    -0.35
    afficheront
    -0.35
     difp
    -0.33
    copus
    -0.33
    fart
    -0.32
     attribution
    -0.32
     расс
    -0.32
    POSITIVE LOGITS
     money
    1.20
    money
    1.17
     Money
    1.12
    Money
    1.11
     MONEY
    1.10
    MONEY
    1.02
     won
    0.96
    won
    0.92
    Won
    0.88
     dinero
    0.86
    Activations Density 0.099%

    No Known Activations